104 search results - page 3 / 21 » Using Dirichlet priors to improve model parameter plausibili... |
CVPR
2008
IEEE
14 years 8 months ago
2008
IEEE
We present a fully probabilistic stick-figure model that uses a nonparametric Bayesian distribution over trees for its structure prior. Sticks are represented by nodes in a tree i...
CORR
2010
Springer
13 years 6 months ago
2010
Springer
The two parameter Poisson-Dirichlet process is also known as the PitmanYor Process and related to the Chinese Restaurant Process, is a generalisation of the Dirichlet Process, and...
ICASSP
2009
IEEE
13 years 10 months ago
2009
IEEE
The Dirichlet process can be used as a nonparametric prior for an infinite-dimensional probability mass function on the parameter space of a mixture model. The set of parameters o...
NIPS
2008
13 years 7 months ago
2008
Prior work has shown that features which appear to be biologically plausible as well as empirically useful can be found by sparse coding with a prior such as a laplacian (L1) that...
BMCBI
2010
13 years 6 months ago
2010
Background: One of the challenges of bioinformatics remains the recognition of short signal sequences in genomic DNA such as donor or acceptor splice sites, splicing enhancers or ...